删除无用代码

@@ -31,6 +31,4 @@ public interface QuestionEmbeddingMapper {
                                                        @Param("limit") int limit,
                                                        @Param("minSimilarity") Double minSimilarity);
 
-    List<QuestionEmbedding> similaritySearch(@Param("vector") float[] vector,
-                                             @Param("limit") int limit);
 }
\ No newline at end of file

@@ -82,10 +82,5 @@
         ]]>
     </select>
 
-    <select id="similaritySearch" resultMap="questionEmbeddingResultMap">
-<!--        SELECT *, embedding <-> #{vector} AS similarity-->
-<!--        FROM question_embedding-->
-<!--        ORDER BY similarity ASC-->
-<!--        LIMIT #{limit}-->
-    </select>
+
 </mapper>
\ No newline at end of file

@@ -9,15 +9,22 @@ import org.springframework.web.multipart.MultipartFile;
 import java.util.List;
 
 public interface IQuestionEmbeddingService {
+
     Page<QuestionEmbedding> findAll(QuestionEmbedding questionEmbedding, Integer pageNo, Integer pageSize);
+
     Integer findQuestionCount(QuestionEmbedding questionEmbedding);
+
     QuestionEmbedding findById(String id);
+
     int insert(QuestionEmbedding record);
+
     int update(QuestionEmbedding record);
+
     int removeByIds(List<String> ids);
+
     int deleteById(String id);
+
     List<QuestionEmbedding> similaritySearchByQuestion(String question, int limit, Double minSimilarity, AiragChatsetting chatSetting);
-    List<QuestionEmbedding> similaritySearch(float[] vector, int limit);
 
     Result<?> processZipUpload(MultipartFile file, String knowledgeId);
 }
\ No newline at end of file

@@ -118,13 +118,10 @@ public class QuestionEmbeddingServiceImpl implements IQuestionEmbeddingService {
         Response<Embedding> embedding = aiModelUtils.getEmbedding(chatSetting.getEmbeddingId(), question);
 
 
-        return  questionEmbeddingMapper.similaritySearchByQuestion(embedding.content().vector(), limit, 1-minSimilarity);
+        return  questionEmbeddingMapper.similaritySearchByQuestion(embedding.content().vector(), limit, 1 - minSimilarity);
     }
 
-    @Override
-    public List<QuestionEmbedding> similaritySearch(float[] vector, int limit) {
-        return questionEmbeddingMapper.similaritySearch(vector, limit);
-    }
+
 
     @Override
     public Result<?> processZipUpload(MultipartFile zipFile, String knowledgeId) {